Dynamic Data Flow Channel Configuration for Driverless Vehicle Nodes
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Solution Overview
Problem
Existing driverless vehicle data flow systems face inefficiencies due to unnecessary activation of data flow processing nodes and complex connection relationships, leading to low utilization and processing efficiency during commissioning and operation.
Innovation Solution
A data flow processing method and apparatus that determine and connect specific data flow processing nodes based on instructions and procedures to create a data flow processing channel, optimizing node utilization and efficiency by setting guiding flag bits for input and output ports to manage data flow processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the entire program is started to process a data flow, then the data flow can be processed, but data flow processing nodes that do not need to participate are undesirably started, lowering the utilization ratio
Solution Approach 1:
The patent segments the data flow processing system into independent processing nodes that can be individually activated. Instead of starting the entire program, the system identifies and activates only the specific processing nodes required for the current data flow, thereby improving utilization ratio while maintaining processing efficiency.
2Adaptability or versatility
If the type, number, or connection relationship of data flow processing nodes is adjusted during commissioning, then the system can be configured for different applications, but the connection relationship becomes complex, leading to low data flow processing efficiency
Solution Approach 1:
The patent implements dynamic connection relationships where processing nodes can be flexibly configured and connected based on specific data flow requirements. The system allows nodes to be dynamically added, removed, or reconnected without affecting the entire system structure, maintaining adaptability while preventing complexity through modular design.
3Reliability
If unnecessary data flow processing nodes are activated, then all possible processing functions are available, but resource utilization decreases and processing efficiency is lowered
Solution Approach 1:
The patent applies partial action by activating only the necessary subset of processing nodes required for each specific data flow task. Rather than keeping all nodes active to ensure function completeness, the system dynamically determines the minimum required node set, thereby improving resource utilization while maintaining the reliability needed for the current processing task.
Data Source
AI summary
The present application discloses a data flow processing method and apparatus for a data flow system. A specific implementation of the method includes: acquiring a to-be-processed data flow, and determining, according to a data flow processing instruction, at least one data flow processing node corresponding to the to-be-processed data flow and a passing order in which the to-be-processed data flow passes through the at least one data flow processing node; and connecting together the at least one data flow processing node according to the passing order to obtain a data flow processing channel, and importing the to-be-processed data flow to the data flow processing channel for data processing. This implementation improves the utilization of data flow processing nodes and the data flow processing efficiency.