Reverse Emergency Message Confidence Threshold Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Initiating reverse emergency messages, such as those used for public safety notifications, is cumbersome and prone to errors, leading to delayed or incorrect transmissions that can reduce effectiveness and cause unnecessary concern.
Innovation Solution
A method and system that use electronic processors to determine whether to transmit a reverse emergency message based on a confidence value calculated from incident type, location, and data feeds, employing a set of rules to automate the decision-making process and reduce human error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual permission processes are used to transmit reverse emergency messages, then transmission accuracy can be verified, but transmission time is delayed
Solution Approach 1:
The system pre-establishes transmission rules and confidence value thresholds before emergencies occur. During an emergency, the system automatically compares incident confidence values against pre-defined thresholds and transmits messages without requiring real-time human approval, thus maintaining accuracy through pre-configured criteria while eliminating approval delays
Solution Approach 2:
The system enables automatic self-decision-making by comparing incident confidence values against pre-set thresholds. The automated system serves itself by making transmission decisions based on objective criteria without human intervention, ensuring both accuracy through consistent rule application and speed through immediate automated response
2Productivity
If automated transmission decisions are made based on confidence values, then transmission speed is improved, but error transmission may occur
Solution Approach 1:
The system implements feedback through predefined confidence value thresholds that determine transmission decisions. By establishing objective threshold criteria before emergencies occur, the system provides automated feedback mechanisms that compare incident confidence against standards, enabling fast automated transmission while maintaining accuracy through consistent threshold-based decision-making
Solution Approach 2:
The system uses parameter changes by adjusting confidence value thresholds based on incident types and severity levels. Different threshold parameters are applied to different emergency scenarios, allowing the system to maintain high transmission speed through automation while adapting accuracy criteria to match the specific risks and requirements of each incident type
Data Source
AI summary
Determining whether to transmit a reverse emergency message. An electronic computing device includes a network interface configured to receive one or more data feeds from one or more first network-connectable devices. The electronic computing device includes an electronic processor configured to determine that each data feed of the one or more data feeds is related to an incident based on content included in each data feed, a location from which each data feed was received, and a time associated with each data feed. The electronic processor is configured to determine a confidence value for the incident based on an incident type of the incident, a location type of the incident, and at least a portion of the data feeds. The electronic processor is configured to determine that the confidence value is above a predetermined threshold and transmit a reverse emergency message.