Intelligent Traffic Cloud Control System Data Distribution
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Solution Overview
Problem
Current intelligent traffic cloud control systems face challenges with poor coordination between control servers, excessive data storage in central systems, and heavy computing burdens due to limited data processing and exchange capabilities between nodes.
Innovation Solution
A method and equipment that utilize cloud computing and edge computing to distribute subscription messages to control servers, allowing them to return information and processing results only when preset conditions are met, enabling coordinated or local control strategies to be generated and enforced, thereby reducing data transmission and storage burdens on central systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all traffic cloud nodes transmit real-time information concurrently to the central system, then the central system can access comprehensive data, but the data transmission rate is low and the central system bears heavy storage and computing burdens
Solution Approach 1:
The patent segments the centralized data processing architecture into a distributed hierarchical structure with multiple levels (central system, regional control centers, and edge computing nodes). Each segment processes and filters data locally before transmitting to higher levels, reducing the burden on the central system while maintaining data completeness through selective upward transmission of only necessary aggregated information.
Solution Approach 2:
The patent introduces a new dimensional structure by adding intermediate regional control centers between the central system and edge nodes. This creates a multi-dimensional data flow architecture where data can be processed horizontally at regional levels and vertically transmitted to central levels, enabling parallel processing that increases overall data transmission rate and reduces central system burden.
2Productivity
If distributed traffic cloud nodes process data locally independently, then data processing speed increases, but coordination between nodes deteriorates and global data manipulation capability is lost
Solution Approach 1:
The patent implements multi-level feedback mechanisms where edge computing nodes receive feedback from regional control centers about their data processing performance and coordination status. Regional centers aggregate feedback from multiple edge nodes and provide coordinated feedback to the central system, enabling real-time adjustment of processing parameters while maintaining global coordination and reliability across the distributed network.
Solution Approach 2:
The patent designs the regional control centers and edge computing nodes with multi-functional capabilities that enable them to perform both independent local data processing and coordinated global data manipulation. These nodes can switch between autonomous operation mode for speed and collaborative mode for coordination, making the system adaptable to different operational requirements while maintaining both processing speed and reliability.
3Loss of information
If the central system stores and processes all data from traffic signaling devices, then comprehensive traffic management is achieved, but the computing burden on the central system becomes heavy
Solution Approach 1:
The patent extracts heavy data processing and storage functions from the central system and relocates them to distributed edge computing nodes and regional control centers. The central system retains only high-level strategic processing and global coordination functions, while local nodes handle real-time data filtering, aggregation, and storage, significantly reducing the central system's computing burden while maintaining data availability through distributed storage.
Solution Approach 2:
The patent introduces regional control centers as intermediary components between edge computing nodes and the central system. These intermediaries perform data aggregation, filtering, and pre-processing, reducing the volume and complexity of data that reaches the central system. The intermediaries maintain data availability locally while managing the flow of information to the central system, effectively reducing computing burden at the central level.
Data Source
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AI summary
The invention relates to the field of controlling road traffic, and particularly to a method and equipment for processing information in an intelligent traffic cloud control system. In the method, a first node distributes subscription messages to control servers, the control servers return information acquired by IP-enabled field devices, and corresponding processing results to the first node upon determining that a preset condition indicated by the subscription messages is satisfied, and the first node generates a corresponding coordinated control strategy or local control strategy according to the returned information acquired by the IP-enabled field devices, and corresponding processing results. The first node can obtain the information acquired by the IP-enabled field devices, and the corresponding processing results, of the respective control servers as needed, to thereby improve the effect of adjusting a traffic condition in some area while lowering the amount of information transmitted throughout the intelligent traffic cloud control system, thus avoiding the information from being jammed, and lowering the amount of stored information, and the workload of information calculation in the central system while guaranteeing the efficiency of transmission.