Test System for Threat Evaluation Algorithm Interoperability
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Solution Overview
Problem
Current systems lack an efficient method to test and analyze the interoperability of threat evaluation and sensor/weapon assignment algorithms, especially when dealing with confidential information from multiple institutions or nations, and fail to model user decisions across various operating levels in a distributed environment, leading to increased time and cost and difficulty in integrating new algorithms.
Innovation Solution
A test and analysis system that includes a simulation and analysis unit, an external communication unit, and a client, enabling the operation and interoperability of multiple threat evaluation and sensor/weapon assignment algorithms on different computers, allowing for real-time scenario formation and data transfer without requiring source code access, and enabling user interaction and authorization across multiple levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If various TESWA algorithms are combined into a single algorithm for testing interoperability, then interoperability can be analyzed, but the algorithms cannot operate independently and integration time and cost increase
Solution Approach 1:
The system segments the testing function into separate algorithm operating units, each capable of independently operating its own TESWA algorithm. These units communicate through standardized interfaces, allowing interoperability to be tested without combining the algorithms into a single integrated system. This maintains algorithm independence while enabling interoperability analysis.
Solution Approach 2:
The patent introduces a standardized communication interface and message exchange protocol as an intermediary between separate algorithm operating units. This mediator enables interoperability testing by facilitating controlled interaction between independent algorithms without requiring their integration, thus reducing integration time and cost.
2Reliability
If various TESWA algorithms are combined into a single algorithm for testing interoperability, then interoperability can be analyzed, but the complexity and cost of compilation increase
Solution Approach 1:
The system divides the testing architecture into independent algorithm operating units that each maintain their own algorithms separately. This segmentation eliminates the need to compile multiple algorithms into a single complex unit, reducing compilation complexity while preserving the ability to analyze interoperability through standardized interfaces.
Solution Approach 2:
The patent creates a universal testing framework with standardized interfaces that can operate with multiple different TESWA algorithms simultaneously. This multi-functional framework allows various algorithms to be tested for interoperability without requiring custom compilation for each algorithm combination, thereby reducing overall system complexity.
3Reliability
If algorithms are kept confidential and separate, then security is maintained, but interoperability testing cannot be performed
Solution Approach 1:
The system employs standardized communication interfaces and message protocols as intermediaries that allow confidential algorithms to interact for interoperability testing without exposing their internal structures. The algorithms remain separate and secure, yet can be tested for interoperability through the standardized mediation layer.
Solution Approach 2:
The testing system segments confidentiality and interoperability testing into separate layers: algorithms remain isolated and confidential in their own operating units, while interoperability is tested through controlled communication at the interface level. This segmentation maintains security while enabling versatility.
4Reliability
If a single integrated algorithm is created for testing, then interoperability analysis is possible, but user interaction and routing difficulties increase
Solution Approach 1:
The system segments user interaction handling into separate algorithm operating units, each with its own interface for receiving user decisions. This segmentation simplifies routing by allowing user interactions to be directed to specific algorithm units independently, avoiding the complexity of routing within a single integrated algorithm.
Solution Approach 2:
The standardized communication interface acts as an intermediary that simplifies user interaction routing between different algorithm units. Users can interact with each algorithm independently through standardized channels, and the system automatically routes these interactions appropriately, reducing operational complexity.
Data Source
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AI summary
The present invention relates to a system comprising threat evaluation and sensor/weapon assignment algorithm operating units which are adapted such that they will operate any threat evaluation and sensor/weapon assignment algorithm, a simulation and analysis unit which is adapted such that it will form the area, in which threat evaluation and sensor/weapon assignment algorithms will be operated, as a virtual scenario by forming an air picture in accordance with the data it receives, an external communication unit which is in communication with the simulation and analysis unit; which can communicate correspondingly with a threat evaluation and sensor/weapon assignment algorithm operating unit; which is adapted such that it will transfer the current scenario information to the threat evaluation and sensor/weapon assignment algorithm when it is necessary and transfer the engagement results to the simulation and analysis unit by taking them back, and a communication unit which is adapted such that it will transfer the scenario, which is formed by communicating with a client, to the client and will receive data through the client; and a method comprising the steps of sending and arranging the data to the simulation and analysis unit through at least one client, transferring the virtual scenario to the TESWA algorithm operating units and receiving the engagement data, combining the engagement data with each other and the data received from the clients and updating the scenario status, approving and disapproving the engagement, analyzing the engagement data and transferring the results to a client partially or completely.