Road Network Management System Decoupling via Unified Data Center
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Solution Overview
Problem
Current road network operation management systems face challenges in flexibility and integration, with limited ability to expand tasks and manage diverse user requirements, leading to decentralized and repetitive construction, low data integration, and inefficient emergency handling.
Innovation Solution
A unified data center is constructed to eliminate data barriers, enabling decoupling and separation of road network traffic data and platform business functions, allowing for flexible task expansion and configuration, and improving management performance through data abstraction and business process decomposition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system starts from the needs of specific users and meets established monitoring tasks based on limited data resources, then the system can be initially built with focused functionality, but the ability to flexibly expand tasks is weak and the platform vitality is limited
Solution Approach 1:
The system segments business functions into independent business nodes that can be configured and combined flexibly. Each business node represents a specific monitoring or analysis task that can be independently configured, allowing the system to adapt to different user needs without requiring complete system redesign.
Solution Approach 2:
The platform builds a universal business node library containing multiple pre-defined business nodes that can serve different user groups and monitoring needs. This library enables the system to handle diverse tasks (real-time monitoring, historical analysis, emergency response) using the same underlying data infrastructure, thereby enhancing versatility without proportionally increasing complexity.
2Adaptability or versatility
If the system serves multiple types of users with different data requirements and spatial attributes, then the system can meet diverse user needs, but the complexity of users, data and business increases significantly
Solution Approach 1:
The system introduces a business node as an intermediary layer between the data center and user applications. Business nodes act as mediators that standardize data processing and transformation, converting raw data from various sources into standardized business-orientated data formats. This intermediary layer abstracts the complexity of multi-source data fusion from the user interface.
Solution Approach 2:
The system dynamically adjusts data processing parameters based on user requirements and task types. Different business nodes can configure different data filtering, aggregation, and transformation parameters to suit specific user needs, allowing the same infrastructure to serve diverse user groups without manual reconfiguration of the entire system.
3Productivity
If the system performs regular monitoring tasks plus temporary monitoring and data analysis tasks for emergencies and major activities, then the system can respond to diverse business needs, but the requirement for task flexibility and rapid deployment increases
Solution Approach 1:
The system pre-configures a library of standard business nodes that can be quickly deployed for common monitoring and analysis tasks. For emergency or special events, the system can rapidly instantiate pre-defined business nodes without requiring new development, significantly reducing deployment time while maintaining functional adequacy.
Solution Approach 2:
The platform implements dynamic task configuration capabilities where business nodes can be dynamically added, modified, or removed based on real-time needs. The system can dynamically adjust resource allocation and data processing parameters to match the urgency and scope of different tasks, enabling flexible response to both routine and emergency situations.
Data Source
AI summary
A road network operation management method and device, a storage medium, and a terminal. The method comprises: determining an analysis target on a road network to be managed, and extracting metadata of the analysis target; obtaining task data corresponding to the analysis target from a data table described by the metadata; preprocessing the task data corresponding to the analysis target on the road network on the basis of a received configured service processing rule to generate visual data corresponding to the analysis target on the road network; and performing rendering on the basis of the visual data corresponding to the analysis target on the road network to generate a visual element corresponding to the analysis target on the road network. The method can realize road network operation management and service platform data and service decoupling, improve the flexibility of data center service function extension.