Tianwen Cloud Teaching and Experiment System

The Tianwen Cloud Teaching Experiment System is an integrated, networked teaching experiment platform featuring a hybrid virtual-physical architecture, multi-function integration, reconfigurability, and upgradability. It can be deployed to build various types of communication and electronic information laboratories in higher education institutions, as well as serve as a virtual experiment platform for remote virtual simulation experiments.

The software system adopts an open Software-Defined Radio (SDR) architecture developed in-house, implementing key core technologies including Web-based visual flowgraph construction, remote waveform execution control, remote waveform execution visualization, remote audio streaming, and custom component development. It also provides features such as hierarchical user management, course management, experiment management, automated experiment report generation, and waveform execution status monitoring and management—fully protected by independent intellectual property rights.

At its foundation, the software is compatible with the open-source SDR unified architecture and supports mainstream general-purpose SDR RF devices. It includes a rich library of communication and information processing algorithm components, enabling rapid construction of diverse communication and information-related course experiments, and supporting both virtual simulation experiments and hardware-in-the-loop experiments.

Main Features:

1. Designed based on a Browser/Server (B/S) architecture, with fully independent intellectual property rights;

2. Supports two operation modes: standalone operation and browser-based remote operation—remote operation requires no plug-ins or local software installation;

3. Supports remote waveform start/stop control and signal observation;

4. Supports both virtual simulation execution and hardware-in-the-loop execution.

5. Supports hybrid virtual-physical waveform observation methods—i.e., physical instruments and virtual instruments;

6. Supports remote custom flowgraph development and automatic flowgraph error detection;

7. Supports remote custom component development;

8. Supports automated experiment report generation and AI-assisted grading.