Emergency Decision Assistance System for Nuclear Plants
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing decision-making assistance systems for emergencies, particularly in nuclear power generation plants, face delays in determining countermeasures due to the sharing of large amounts of unnecessary information, and may not account for real-time or unexpected situations not included in their databases.
Innovation Solution
An emergency decision-making assistance system that selectively generates and shares only necessary, up-to-date information via a network, prioritizing critical data and allowing for real-time input and prediction calculations to support timely and effective countermeasure decisions, including synchronization management to maintain data sharing even during network disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all emergency information is distributed to each terminal via network, then complete information is available, but information size becomes extremely large and decision-making is delayed
Solution Approach 1:
The system extracts and displays only the necessary emergency information relevant to each terminal's location and function, rather than distributing all information. The information management unit selectively presents data based on pre-established correlation relationships between information items and terminal types, reducing information size while maintaining decision-making quality.
Solution Approach 2:
The emergency information is segmented and distributed according to terminal type and location. Different terminals receive different subsets of information based on their specific needs, rather than a uniform distribution of all information. This segmentation reduces the information burden on each terminal while ensuring relevant information is available.
2Loss of information
If extensive database information is presented, then comprehensive data is available, but real-time necessary information is not shared effectively
Solution Approach 1:
The system performs preliminary actions by pre-establishing correlation relationships between information items and terminal types before emergencies occur. This allows the information management unit to quickly select and distribute appropriate information during emergencies without needing to process the entire database in real-time, ensuring both comprehensiveness and timeliness.
Solution Approach 2:
The system incorporates feedback mechanisms where the information management unit continuously monitors which information is being displayed and adjusts information distribution based on current emergency conditions and terminal needs. This ensures real-time information accuracy while maintaining comprehensive coverage.
3Loss of information
If information is distributed to multiple terminals, then information sharing is achieved, but each terminal receives extremely large information size
Solution Approach 1:
Each terminal receives information tailored to its specific location, function, and type rather than identical information from the central system. The information management unit adjusts the content and detail level of information based on local requirements, reducing processing complexity at each terminal while maintaining effective information sharing across the network.
Data Source
AI summary
An emergency decision-making assistance system includes an information management unit operable to generate display data on the basis of emergency information and to share the emergency information via a network; a display unit operable to display a plurality of pieces of the display data generated by the information management unit; a console unit operable to switch between the plurality of pieces of display data displayed on the display unit; and a database configured to store the plurality of pieces of display data generated by the information management unit. Decision-making is thereby effectively assisted by obtaining only necessary information in a plurality of sites.