Adaptive Mission Profiling for System Integration Bottlenecks
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Solution Overview
Problem
Existing systems are not designed to effectively integrate people and systems at all levels to accomplish specific mission needs, leading to inefficiencies and integration issues in meeting mission objectives.
Innovation Solution
The adaptive mission profiling method integrates mission components with metadata, transfers messages, and determines mission status using an intelligent agent and sentinel agent within a messaging infrastructure and metadata database, enabling real-time simulation and optimization of mission processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional systems are used to integrate mission components, then system structure is simple, but integration effectiveness and mission accomplishment capability deteriorate
Solution Approach 1:
The patent introduces a mission profiler system as an intermediary component that mediates between mission components and the messaging infrastructure. This profiler integrates mission components by intercepting and routing messages, enabling effective integration without requiring complex direct connections between all components. The profiler acts as a central coordinator that manages communication flows and integrates diverse mission components effectively.
Solution Approach 2:
The mission profiler is designed as a universal integration mechanism that can handle multiple types of mission components (people, systems, subsystems) through a common messaging interface. By providing a single profiler that can integrate various component types, the system achieves effective integration without proportionally increasing structural complexity. The profiler performs multiple functions including message routing, integration coordination, and mission status determination.
2Productivity
If real-time mission status determination is implemented, then mission performance monitoring improves, but system complexity and processing requirements increase
Solution Approach 1:
The system implements real-time feedback by continuously monitoring messages exchanged between mission components and determining current mission status. The profiler receives messages, processes them against metadata, and determines mission status in real-time, providing continuous feedback on mission performance. This feedback mechanism enables proactive mission management without requiring overly complex processing, as it leverages the existing message flow between components.
Solution Approach 2:
The mission components themselves generate the data needed for status determination through their normal message exchanges. The profiler leverages these self-generated messages to determine mission status without requiring additional sensors or complex data collection mechanisms. Each component serves itself by messaging according to its function, and the profiler passively collects this information for status determination.
3Ease of operation
If message transfer and status determination are implemented, then mission coordination improves, but information processing load increases
Solution Approach 1:
The mission profiler serves as an intermediary that centralizes information processing related to mission coordination. Instead of each component needing to process and coordinate with every other component directly, the profiler intercepts and processes messages, determining coordination requirements and routing information appropriately. This intermediary approach improves coordination ease while actually reducing the information processing load on individual components.
Solution Approach 2:
The system performs preliminary action by establishing the messaging infrastructure and profiler configuration before mission execution. Message formats, metadata structures, and profiler rules are predetermined, allowing the system to process information efficiently during actual mission execution without requiring complex real-time decision-making about information handling. The coordination framework is prepared in advance.
Data Source
AI summary
In one aspect, the invention is a method for adaptive mission profiling. The method includes integrating mission components used in a mission and associating the mission components to metadata. The method also includes transferring messages from the mission components and determining a status of the mission based on the messages and the metadata.