A multi-granularity data transmission and compression adaptation method and system with body system end cloud collaboration

Abstract

This invention relates to the field of edge-cloud collaborative communication technology for embodied intelligent systems, and discloses a multi-granularity data transmission and compression adaptation method and system for edge-cloud collaboration in embodied systems. The method includes: identifying the current execution stage of the embodied task; dynamically selecting the corresponding data transmission granularity according to different execution stages, wherein the data transmission granularity includes complete data, incremental data, and summary data; identifying the data type to be transmitted and selecting an appropriate compression algorithm for compression processing; marking key information in the data and transmitting it preferentially, while establishing a transmission verification mechanism to ensure the integrity of key data. This invention achieves edge-cloud communication bandwidth optimization and latency reduction through task stage adaptive granularity control and data type compression matching mechanism, and improves communication reliability through key data priority and verification mechanisms, making it suitable for edge-cloud collaborative scenarios involving complex embodied tasks.

Description

Technical Field

[0001] This invention relates to the field of embodied intelligent systems and edge-cloud collaborative communication technology, and in particular to a multi-granularity data transmission and compression adaptation method and system for different execution stages of embodied tasks. Background Technology

[0002] In existing edge-cloud collaborative architectures of embodied systems, data communication typically employs fixed data transmission granularity and a single compression method. For example: Complete data is transmitted at all stages; All data uses a unified compression strategy; There is no mechanism for prioritizing critical data.

[0003] However, embodied missions have different communication requirements at different stages: The initialization phase requires complete model or environment information; The execution phase focuses more on incremental state data; The closing stage may only require a summary or results data.

[0004] Fixed communication methods will result in: High data transmission latency; Waste of bandwidth resources; Critical control data may be delayed or lost. The system response is unstable.

[0005] Therefore, a communication method is needed that can dynamically adjust the data granularity and compression method according to the task stage and support a critical data priority mechanism. Summary of the Invention

[0006] This paper presents a multi-granularity data transmission and compression adaptation method for edge-cloud collaboration in embodied systems, which improves communication efficiency and ensures the reliability of critical data.

[0007] Technical solution This invention provides the following method: S1: Task Phase Identification Determine the current stage of the embodied task, including: Initialization phase Execution phase Final stage S2: Multi-granularity data selection Select the appropriate data transmission granularity based on the current stage: Initialization phase: Complete data transmission; Execution phase: Incremental data transmission; Final stage: Summary data transmission.

[0008] S3: Data Type Recognition and Compression Adaptation Identify the data type to be transmitted, including: Image data Sensor data Control command data Log data Select the appropriate compression strategy based on the data type for compression processing.

[0009] S4: Critical Data Priority and Verification Mechanism Mark key information in the data; Prioritize the transmission of critical data; Establish a transmission verification mechanism to ensure the integrity of critical data.

[0010] Beneficial effects Reduce communication bandwidth usage; Reduce edge-cloud communication latency; Improve the reliability of critical control data; Adapt to communication requirements at different task stages; Improve the overall response stability of the embodied system.

Claims

1. A multi-granularity data transmission and compression adaptation method for body system edge cloud collaboration, characterized in that, The method comprises the following steps: determining the current execution stage of the embodiment task; selecting a corresponding data transmission granularity according to the execution stage; identifying the type of data to be transmitted and selecting a compression algorithm suitable for compression; marking key data and preferentially transmitting the key data, while establishing a transmission verification mechanism.

2. The method of claim 1, wherein the data transmission granularity comprises complete data, incremental data and summary data.

3. The method of claim 1, wherein the verification mechanism comprises key data verification code generation and transmission confirmation feedback.

4. A multi-granularity data transmission and compression adaptation system for embodiment system end-cloud collaboration, comprising: a stage identification module; a granularity selection module; a data type identification module; a compression processing module; a key data marking and verification module.