Homeland explosive consequence and threat (HExCAT) modeling and medical mitigation tool

A system to estimate consequences of an explosion, comprising:

• a computer system, including:
• a processing system having a hardware processor configured to perform a predefined set of basic operations by loading corresponding ones of a predefined native instruction set of codes, the predefined native instruction set of codes constituting a set of instructions selectable for execution by the hardware processor;
• a memory accessible to the processing system;
• and
• a user interface controller under control of the processing system;
• (a) user interface logic, stored in the memory, comprising a sequence of instructions selected from the predefined native instruction set of codes of the hardware processor, adapted to operate with the processing system and the user interface controller to implement a user interface adapted to prompt for user input and receive the user input including parameters for generating and modeling a scenario, explosion device model, propagation of hazards and injuries, and medical mitigation;
• a communication system, under control of the processing system, adapted to:
• transmit requests for datasets used by logic for generating scenarios, generating explosive device models, modeling propagation of hazards, modeling injuries, and modeling medical mitigation responses, and
• receive the datasets;
• (b) scenario generating logic, stored in the memory, comprising a respective sequence of instructions selected from the predefined native instruction set of codes of the hardware processor, adapted to generate a scenario based on the user input indicating an indoor explosion target or an outdoor explosion target, the scenario generating logic further comprising instructions adapted to communicate with geospatial databases, retrieve geospatial data from the geospatial databases, model the geospatial data based on a three-dimensional grid of cells, and discretize space representing the scenario into the three-dimensional grid of cells;
• (c) explosive device model logic, stored in the memory, comprising a respective sequence of instructions selected from the predefined native instruction set of codes of the hardware processor, adapted to generate an explosive device model based on the user input and an iterative subset of explosive device parameters;
• (d) propagation of hazards logic, stored in the memory, comprising a respective sequence of instructions selected from the predefined native instruction set of codes of the hardware processor, adapted to model propagation of hazards into the scenario based on the user input and an iterative subset of hazard parameters, and apply the hazard parameters to the three-dimensional grid of cells, the hazards corresponding to detonation of the explosive device model;
• (e) injury modeler logic, stored in the memory, comprising a respective sequence of instructions selected from the predefined native instruction set of codes of the hardware processor, adapted to model injuries, corresponding to the modeling propagation of hazards into the scenario, based on an iterative subset of injury parameters, the injury modeler logic further adapted to apply population density to the three-dimensional grid of cells;
• (f) medical mitigation response modeler logic, stored in the memory, comprising a respective sequence of instructions selected from the predefined native instruction set of codes of the hardware processor, adapted to model a medical mitigation response based on the injuries and an iterative subset of medical mitigation parameters;
• the scenario parameters, the explosive device parameters, the hazard parameters, the injury parameters, and the medical mitigation parameters being distributions applied to Monte-Carlo probabilistic simulations to generate and model the scenario, the explosion device model, the propagation of hazards and injuries, and the medical mitigation response;
• (g) iteration logic, stored in the memory, comprising a respective sequence of instructions selected from the predefined native instruction set of codes of the hardware processor, adapted to iterate based on the iterative subsets of scenario parameters, the explosive device parameters, the hazard parameters, the injury parameters, and the medical mitigation parameters until the discretized space representing the scenario is covered, thereby generating the scenario, generating the explosive device model, modeling propagation of hazards, modeling injuries, and modeling the medical mitigation response;
• and
• (h) output logic, stored in the memory, comprising a respective sequence of instructions selected from the predefined native instruction set of codes of the hardware processor, adapted to generate a medical mitigation response record based on modeling of a plurality of medical mitigation response outcomes corresponding to the iterating;
• the processing system being further configured to output the medical mitigation response record when iteration is completed.

A tangible non-transitory computer-readable medium having stored thereon computer-executable instructions that, if executed by a computing device, cause the computing device to:

• (a) receive user input including parameters for generating and modeling;
• (b) generate a scenario based on the user input and an iterative subset of scenario parameters, the user input indicating an indoor explosion target or an outdoor explosion target, wherein the computer-executable instructions, if executed by a computing device, further cause the computing device to communicate with geospatial databases, retrieve geospatial data from the geospatial databases, and model the geospatial data based on a three-dimensional grid of cells, the computer-executable instructions, if executed by a computing device, further causing the computing device to discretize space representing the scenario into the three-dimensional grid of cells;
• (c) generate an explosive device model based on the user input and an iterative subset of explosive device parameters;
• (d) model propagation of hazards into the scenario based on the user input and an iterative subset of hazard parameters, the computer-executable instructions, if executed by a computing device, further causing the computing device to apply the hazard parameters to the three-dimensional grid of cells, the hazards corresponding to detonation of the explosive device model;
• (e) model injuries, corresponding to modeling propagation of hazards into the scenario, based on an iterative subset of injury parameters, the computer-executable instructions, if executed by a computing device, further causing the computing device to apply population density to the three-dimensional grid of cells;
• (f) model a medical mitigation response based on the injuries and an iterative subset of medical mitigation parameters;
• the scenario parameters, the explosive device parameters, the hazard parameters, the injury parameters, and the medical mitigation parameters being distributions applied to Monte-Carlo probabilistic simulations to generate and model the scenario, the explosion device model, the propagation of hazards and injuries, and the medical mitigation response;
• (g) iterate based on the iterative subsets of scenario parameters, the explosive device parameters, the hazard parameters, the injury parameters, and the medical mitigation parameters until the discretized space representing the scenario is covered, to thereby generate the scenario, generate the explosive device model, model propagation of hazards, model injuries, and model the medical mitigation response;
• and
• (h) generate a medical mitigation response record based on a plurality of injury outcomes from the modeling of injuries corresponding to the iterating.