Vehicle Cloud Data Acquisition Using Serialized Binary Conversion
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Solution Overview
Problem
Current vehicle networking data acquisition and transmission methods, such as those using ProtoBuf and MQTT, face challenges in reducing data size while maintaining readability and security, particularly for intelligent and connected vehicles with diverse models and large data volumes, which affects real-time performance and data security.
Innovation Solution
A method that generates data acquisition and transmission configuration rules for different vehicle models, converts data into serialized binary byte arrays using security and data volume control processing, and uses serialized description files for efficient parsing and machine-readable data transmission, ensuring data security through encryption and compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If ProtoBuf serialization is used to reduce data size, then data transmission efficiency is improved, but data readability deteriorates
Solution Approach 1:
The patent introduces an intermediary conversion process that transforms binary serialized data into a structured intermediate format (such as JSON or XML) before final presentation. This intermediate format serves as a bridge that preserves the compactness benefits of binary serialization while restoring human readability and machine-parseability, thus resolving the contradiction between data size reduction and readability maintenance
2Ease of operation
If data is transmitted in original format to maintain readability, then data security deteriorates due to larger transmission volume
Solution Approach 1:
The patent dynamically changes the data format parameters based on transmission requirements. For secure transmission, data is serialized to binary format with reduced size; for scenarios requiring readability, the same data is converted to human-readable formats. This parameter transformation allows the system to optimize both security and readability at different stages of the data lifecycle
3Adaptability or versatility
If diverse acquisition requirements for different vehicle models are supported, then system complexity increases
Solution Approach 1:
The patent implements a universal data acquisition framework that can handle multiple vehicle models and their diverse requirements through a single standardized interface. The system uses configurable parameter sets and adaptable parsing rules that work across different vehicle types, eliminating the need for separate specialized systems for each model while maintaining full adaptability to specific acquisition requirements
Data Source
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AI summary
A data acquisition and transmission method, a vehicle cloud service platform, a vehicle, and a storage medium are provided, belonging to the field of vehicle networking technology. The method includes: generating data acquisition and transmission configuration rules corresponding to different vehicle models; generating a serialized description file according to the data acquisition and transmission configuration rules, the data acquisition and transmission configuration rules applying to a vehicle; receiving and parsing a subscribed vehicle networking data message to obtain payload data; parsing the payload data according to a security and data volume control processing method to obtain serialized binary byte array data; and parsing the serialized binary byte array data according to a corresponding serialized description file to obtain a CAN signal and a corresponding signal value data set. This method generates data acquisition and transmission configuration rules corresponding to different vehicle models, and the acquired data can be flexibly configured. The acquired data is converted into serialized binary byte array data based on a serialized description file and then processed by security and data volume control to reduce its size.