Algorithm Test Platform Automation for Model Deployment

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Solution Overview

Problem

Current algorithm models lack automatic test access from training to launch, preventing the automation of the entire algorithm development and deployment process.

Innovation Solution

An algorithm test method and platform that receive a test task, analyze its type and parameters, perform test preparation, execute the test, and provide feedback on the test results, covering algorithm model tests, interface tests, and online operation state tests.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If manual testing is used for algorithm models, then testing can be performed, but the entire algorithm development process cannot be automated and efficiency is low

Engineering Contradiction:

Improveautomation of algorithm testing processVSAvoidtesting efficiency

Core Design Contradiction:

Extent of automationVSProductivity

Solution Approach 1:

The algorithm test platform enables self-service testing by automatically receiving test tasks, analyzing test parameters, executing tests, and providing feedback without requiring manual intervention throughout the entire testing process, thereby achieving automation and improving efficiency

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The platform implements feedback mechanisms by automatically receiving test results, displaying them, and feeding back to the testing system, creating a closed-loop automated testing process that improves both automation extent and productivity

Inventive Principle:

Principle #23Feedback

2Extent of automation

If automated testing platform is implemented, then testing automation is achieved, but system complexity increases

Engineering Contradiction:

Improveautomation of algorithm testing processVSAvoidtesting platform structure

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The testing platform is segmented into distinct functional modules: task reception module, analysis module, test execution module, and feedback module. This segmentation allows each module to handle specific functions independently, making the complex automated system more manageable and maintainable

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The platform achieves multi-functionality by handling multiple test types (algorithm model tests, interface tests, online operation state tests) within a single unified system, reducing the need for separate testing systems and managing complexity through consolidation

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250086099A1Algorithm Test Method, Algorithm Test Platform, and Computer-readable Storage Medium

Publication Date: 2025.03.13 BOE TECHNOLOGY GROUP CO LTD

AI summary

Disclosed are an algorithm test method, an algorithm test platform and a computer-readable storage medium. The test method is applied to an algorithm test platform side and includes the following acts: receiving a test task; analyzing a type and a parameter of the test task, wherein the type of the test task includes at least one of the following: an algorithm model test, an algorithm interface test and an algorithm online operation state test; according to the analyzed type and parameter, performing test preparation and issuing the test task; and receiving a test result, displaying and/or feeding back the test result.