Traffic Flow Alarm System Using Automated Data Analysis
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Solution Overview
Problem
Current methods for determining the causes of product abnormalities in manufacturing are inefficient and time-consuming, relying heavily on engineer experience rather than automated data analysis.
Innovation Solution
An alarm method and apparatus that acquires and processes vehicle and road section data from a target database to determine traffic flow information, automatically triggering an alarm when predefined conditions are met, thereby improving the efficiency and accuracy of traffic flow alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated data analysis is implemented, then productivity and time efficiency are improved, but device complexity increases
Solution Approach 1:
The system automatically acquires alarm requests, retrieves relevant data from databases, performs analysis according to preset conditions, and generates alarm information without manual intervention. The alarm information processing system serves itself by automatically completing the entire workflow from data acquisition to alarm generation, eliminating the need for engineer involvement in routine alarm analysis tasks.
Solution Approach 2:
The alarm processing system is divided into distinct functional modules: an alarm request acquisition module that receives alarm requests, a data acquisition module that retrieves data from databases, an analysis module that processes data according to preset conditions, and an alarm information generation module that outputs results. This segmentation allows each module to perform its specific function independently, improving overall system efficiency while maintaining manageable complexity.
2Loss of time
If automated alarm processing is implemented, then time efficiency is improved, but measurement precision requirements increase
Solution Approach 1:
The system uses preset analysis conditions and rules that provide feedback mechanisms for automatic decision-making. The analysis module compares acquired data against predefined thresholds and conditions, automatically determining whether alarm conditions are met. This feedback-driven approach ensures consistent and accurate alarm determination while eliminating manual analysis time.
Solution Approach 2:
The system performs preliminary actions by pre-configuring analysis conditions, data retrieval criteria, and alarm thresholds before actual alarm processing occurs. These preset parameters are established in advance to guide the automated analysis process, ensuring that when alarms occur, the system can quickly and accurately process them using pre-prepared analysis frameworks without requiring real-time human judgment.
Data Source
AI summary
The present application provides an alarm method and device. The method includes: in response to a received alarm request, acquiring target data from a target database according to the alarm request, and determining a target processing condition and target alarm conditions according to the alarm request, where the target database includes vehicle data and road section data of at least one transportation subsystem; performing analysis and processing on the target data according to the target processing condition to obtain traffic flow information corresponding to a target road section, where the target road section is at least one road section indicated by the road section data; in response to determining that the traffic flow information meets a set of target alarm conditions, giving an alarm.