Emergency Reporting System Bias Correction and Control Isolation
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Solution Overview
Problem
Existing emergency reporting systems struggle to accurately assess and respond to equipment-related emergencies due to varying levels of expertise and biases among reporting individuals, potentially leading to inappropriate control actions.
Innovation Solution
A method that receives electronic messages from individuals, identifies their profiles and biases, modifies the messages to create a bias-corrected report, and automatically adjusts equipment control based on the consolidated report, while detecting and isolating unauthorized control signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If emergency reports are accepted from multiple sources, then the system can respond to more events, but the reliability of responses decreases due to biases and varying expertise levels
Solution Approach 1:
The patent introduces an intermediary processing layer between report reception and equipment control. This layer analyzes reporter profiles, detects biases, and modifies reports accordingly before they reach the control system. The intermediary ensures that multiple reports can be processed while maintaining reliability through bias correction and credibility assessment.
Solution Approach 2:
The system implements feedback by continuously analyzing reporter characteristics and adjusting report processing based on detected biases. The feedback mechanism allows the system to learn from past reporting patterns and improve its ability to distinguish reliable reports from biased ones, maintaining high reliability while processing diverse inputs.
2Speed
If automatic control actions are taken based on emergency reports, then response speed increases, but the risk of inappropriate control actions increases due to biased reports
Solution Approach 1:
The patent applies preliminary action by pre-analyzing reporter profiles and establishing credibility baselines before emergency reports are received. When reports arrive, the system can quickly assess their reliability based on pre-established criteria, enabling fast automatic control actions without sacrificing appropriateness through thorough preliminary preparation.
Solution Approach 2:
The intermediary processing layer acts as a filter between raw reports and control actions, performing rapid bias detection and report modification. This intermediary enables the system to maintain high response speed while ensuring control actions are appropriate by preprocessing reports to remove biases before they reach the decision-making layer.
3Measurement precision
If reporter profiles and biases are analyzed, then report accuracy improves, but the system complexity increases
Solution Approach 1:
The system applies self-service by automatically collecting reporter profile information and performing bias analysis without requiring external intervention. The automated profile analysis and bias detection algorithms process reports independently, achieving high assessment accuracy while minimizing the need for complex manual verification procedures.
Solution Approach 2:
The patent changes parameters by transforming raw reporter characteristics into standardized credibility scores and bias indicators. This parameter transformation simplifies the complex task of profile analysis into manageable metrics that can be processed efficiently, improving assessment accuracy without proportionally increasing system complexity.
4Device complexity
If all reports are processed equally, then the system remains simple, but inappropriate control actions occur due to uncorrected biases
Solution Approach 1:
The patent applies local quality by selectively processing reports based on their source characteristics and detected biases. Rather than uniformly processing all reports, the system applies different processing levels to different reports - simple routing for reliable sources, detailed bias analysis for questionable sources - maintaining overall system simplicity while improving control action quality through targeted processing.
Data Source
AI summary
A method enhances an emergency reporting system for controlling equipment. A message receiver receives an electronic message from a person. The electronic message is a report regarding an emergency event related to equipment. One or more processors identify a profile of the person who sent the electronic message, and determine a bias of the person regarding the emergency event based on the person's profile. One or more processors amend, based on the bias of the person, a content of the electronic message to create a modified electronic message regarding the emergency event. The message receiver detects that the modified electronic message came from an unauthorized source. A local controller on the equipment, in response to detecting that the modified electronic message came from the unauthorized source, automatically isolates the equipment from remote control signals for controlling the equipment.