● Define the collection requirements according to the data needs of R&D personnel;

● According to the collection needs, formulate the collection plan;

● Maintenance, maintenance and management of data acquisition equipment;

● Implementation of the collection program;

● Use annotation software to preprocess the collected data;

● Secure transmission and storage of data.

● Analysis and mining of simulation test scenarios;

● Application of test scene library management technology;

● Simulation test system related software and hardware equipment connection and debugging;

● Basic test case writing and test execution;

● Digital twin test system installation and exception handling;

● Test data management.

● Basic operation of simulation test software and automatic test evaluation software;

● Alignment of relevant formats of scene data;

● Deployment of simulation software development environment;

● Configuration of commonly used digital twin test system modules;

● Test hardware installation, connection, maintenance and storage;

● Acceptance of the maintenance status of software

● Scene data fusion, cleaning, and use of fusion software

● Scene feature extraction and scene annotation, extraction and conversion software use

● Scene analysis and clustering

● Scene virtual transformation and rendering

● Use of scene generation software

● Application of scene reconstruction technology

● Format interpretation of the scene library

● Build a scene library in simulation test software

● Test environment construction (simulation test system related software and hardware equipment deployment, connection debugging, sensor or dynamic model construction, computing resource integration)

● Basic test case writing, use case script conversion, test execution

● Digital twin test system installation and exception handling

● Test data management