Decision-Making Controller Flow Steps Risk Calculation
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Solution Overview
Problem
Existing control units for complex systems, such as human resource and energy management, face challenges in visualizing and interacting with complex decision-making processes, often requiring large screens and being prone to erroneous inputs, making them inefficient and unsafe for use on smaller devices.
Innovation Solution
A computer-implemented method and system for building decision-making controllers that utilize flow steps with selectable resource options, dependency functions, and risk value calculations, allowing for dynamic risk adjustments and interactive decision-making on smaller devices, enabling efficient and flexible decision-making processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex decision-making trees are used for accurate data processing, then decision-making accuracy is improved, but device complexity increases and visualization becomes impossible on small screens
Solution Approach 1:
The complex decision-making controller is segmented into multiple independent flow modules, each handling a specific aspect of the decision process. This allows the overall complex functionality to be distributed across manageable segments that can be individually visualized and interacted with on small device screens, while maintaining the comprehensive decision-making capability.
Solution Approach 2:
The patent transitions from visualizing the entire complex decision tree at once (2D screen space) to navigating through sequential flow steps (temporal dimension). Users interact with one flow step at a time, with the system managing the complexity in the time dimension rather than requiring simultaneous display of all elements.
2Loss of information
If large screens are used for data visualization, then information display capability is improved, but energy consumption increases and portability decreases
Solution Approach 1:
Information is segmented and presented across multiple sequential flow steps rather than requiring simultaneous display on a large screen. Each flow step contains a manageable portion of the decision information, allowing small screens to display complete information sets sequentially without requiring high-power large displays.
3Ease of operation
If direct access to complex data structures is provided, then user control is improved, but susceptibility to erroneous input increases
Solution Approach 1:
The patent introduces an intermediary layer (the structured flow module system) between the user and the complex decision-making data structures. Users interact with predefined flow steps and parameters rather than directly accessing raw data, which maintains ease of use while preventing erroneous input through the protective intermediary interface.
4Reliability
If comprehensive risk assessment is performed across all flow steps, then decision safety is improved, but computational complexity increases
Solution Approach 1:
Risk assessment is segmented and performed incrementally at each flow step rather than comprehensively across the entire decision tree at once. This allows safety to be maintained through continuous monitoring while computational complexity is managed by processing risk factors in manageable segments corresponding to individual flow steps.
Data Source
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AI summary
A computer-implemented method for building a decision-making controller comprising a flow having a plurality of flow steps, the method comprising the steps of: providing one or more resources, the one or more resources having one or more selectable resource options, each one or more selectable resource option associated with a risk value; providing first and second flow steps of the plurality of flow steps, each step respectively comprising a resource from said one or more resources; providing a dependency function between the at least two flow steps, the dependency function being dependent on said selectable resource options for the resource comprised in the first step; and calculating an overall risk value for first and second flow steps using said risk values.