Decision Processing System Automating Anomaly Resolution
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Solution Overview
Problem
Current data-driven programming systems require manual judgment to address abnormalities in task execution, leading to reduced efficiency due to the need for manual intervention in solving process anomalies.
Innovation Solution
A decision processing system that includes a server and electronic device, utilizing a design decision model and an action decision model to generate heterogeneous data nodes and encapsulate them into a decision project, which can automatically address abnormal conditions and improve operation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual judgment is used to obtain useful solutions from multiple possible solutions, then the system can handle complex abnormal conditions, but the operation efficiency is reduced due to manual intervention requirements
Solution Approach 1:
The system enables self-service by automatically executing decision projects without manual intervention. The action decision model autonomously selects appropriate decision projects based on abnormal condition data and executes them, allowing the system to handle complex abnormalities independently while maintaining high operation efficiency
Solution Approach 2:
The patent replaces the mechanical manual judgment process with an automated computational system. The action decision model substitutes human operators by automatically matching abnormal conditions with predefined decision projects and executing the appropriate actions, thereby eliminating manual intervention while preserving the ability to handle complex scenarios
2Adaptability or versatility
If multiple possible solutions are generated via semantic search and question answering, then the system provides comprehensive solution options, but the anomalies cannot be effectively eliminated without manual judgment
Solution Approach 1:
The system applies preliminary action by pre-defining multiple decision projects that correspond to various abnormal conditions before runtime. These decision projects are prepared in advance and stored in the database, enabling the action decision model to quickly select and execute the appropriate pre-prepared solution when an anomaly occurs, eliminating the need for manual judgment
Solution Approach 2:
The action decision model serves as an intermediary between the abnormal condition data and the decision projects. It automatically matches the current abnormal condition with the most appropriate pre-defined decision project and executes it, thereby bridging the gap between comprehensive solution options and automated anomaly elimination without requiring manual intervention
Data Source
AI summary
The invention provides a decision processing system and a decision processing method. The decision processing system includes an electronic device and a server. The electronic device acquires target input data and application input data. The server includes a memory and a processor. The memory stores a plurality of models and task metadata. The processor executes the plurality of models. The design decision model computes the task metadata according to the target input data to generate a plurality of heterogeneous data nodes, and executes an encapsulation operation on the plurality of selected heterogeneous data nodes to generate a decision project. The action decision model executes the decision project according to the application input data to generate a decision result to the electronic device, so as to establish the decision project suitable for an abnormal condition to improve operation efficiency.