Signal Machine Alarm Method Detecting Timing Inconsistencies
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Solution Overview
Problem
The inconsistency between the timing scheme acquired from a signal machine and the actual operating scheme due to network transmission, server timing, and interface service stability issues in intelligent transportation systems leads to ineffective real-time adjustments at road intersections.
Innovation Solution
A signal machine alarm method that acquires a light-state data stream, determines a target light-state data frame, extracts relevant information, and calculates a countdown to detect inconsistencies between the acquired and actual timing schemes, sending alarm information when discrepancies are found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If real-time adjustment of signal machine timing scheme is implemented through network transmission and server timing, then traffic control adaptability is improved, but inconsistency between acquired timing scheme and actual operating scheme occurs due to network transmission delays and interface service stability issues
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring the actual light state data stream from the signal machine and comparing it with the expected timing scheme. When inconsistency is detected between the acquired timing scheme and actual operating scheme, the system generates alarm information to notify operators, enabling corrective action to restore timing scheme consistency.
Solution Approach 2:
The patent performs preliminary validation by calculating expected countdown values based on the acquired timing scheme and comparing them with actual light state data before inconsistencies cause traffic control issues. This proactive detection approach allows the system to identify timing scheme deviations early and generate alarms before they affect traffic flow.
2Reliability
If continuous monitoring of light-state data stream is performed to detect timing inconsistencies, then timing scheme reliability is improved, but system complexity increases due to data processing and comparison operations
Solution Approach 1:
The patent extracts only the essential light state information (current light color and countdown value) from the continuous data stream at specific intervals corresponding to timing scheme changes. By focusing on extracting only the necessary parameters rather than processing the entire data stream continuously, the system reduces computational complexity while maintaining effective monitoring capability.
Solution Approach 2:
The patent performs monitoring and comparison operations selectively at critical moments when timing scheme changes are expected to occur, rather than continuously analyzing every data point. This partial monitoring approach reduces processing load while still detecting inconsistencies effectively by focusing computational resources on the most critical validation points.
Data Source
AI summary
The present disclosure provides a signal machine alarm method and apparatus, an electronic device and a readable storage medium, and relates to the field of intelligent transportation technologies. The signal machine alarm method, including: acquiring a light-state data stream of a signal machine; determining a target light-state data frame corresponding to a current time according to the light-state data stream; acquiring a timing scheme of the signal machine at the current time; extracting target light-state information of a target phase from the target light-state data frame; and obtaining a calculation countdown according to the timing scheme, the target light color state and the target cycle countdown, and sending alarm information if the calculation countdown is determined to be inconsistent with the target light color countdown. The present disclosure can achieve a purpose of detecting whether the acquired timing scheme is consistent with a timing scheme actually operating in the signal machine, to ensure timely alarm if inconsistency is detected.