As the resource foundation for the entire testing process, this module enables integrated, granular management of all test‑related resources, comprehensively covering core assets such as test equipment, instruments and meters, testing capabilities, test subjects, software tools, and simulation models.

Focusing on the efficiency and accuracy of test‑environment setup, we provide end-to-end environmental design solutions tailored to the testing requirements of specific model types. Our staff can precisely query the test‑resource repository to select and match the necessary test equipment, instruments, test subjects, software tools, simulation models, and other resources, enabling rapid initial deployment of the test environment.

Guided by test requirements, we have established a standardized, closed-loop process for test design and management to ensure the orderly execution of testing activities.

Achieve engineering‑level, standardized management of test configurations and enable end-to‑end configuration and data governance across the entire testing process. Staff can swiftly create tailored test configuration projects based on specific testing scenario requirements; each project serves as an independent management unit, centrally governing all relevant elements throughout the testing lifecycle.

Focusing on the automation and efficiency of test execution, we offer a flexible and user-friendly solution for managing test workflows. Our platform enables users to intuitively orchestrate test procedures using a graphical drag-and-drop interface, allowing them to rapidly construct workflow logic tailored to their testing needs without requiring complex coding. It also clearly defines the execution sequence, trigger conditions, and associated actions for each step in the process.

A visualized monitoring center integrating multi-source information has been established, enabling real-time oversight of the entire experimental process and comprehensive alerting. This module supports the unified integration and synchronized display of diverse data types, including equipment operating statuses, 3D digital twin models of test rigs, real-time experimental data, graphical curves, and on-site surveillance video. As a result, operators can gain a holistic understanding of experimental conditions through a single interface.

Centered on a large-scale AI model as its core engine, and leveraging an extensive experimental knowledge base and industry‑specific data, it builds an intelligent service platform that integrates four key intelligent agents to provide end‑to‑end support for the entire automated testing workflow, driving the transformation of testing operations toward greater intelligence and efficiency.