Abstract: The integration of digital and intelligent technologies into spacecraft system-level mechanical environment simulation testing has been shown to enhance data acquisition capabilities, efficiency, and test safety. This paper reviews representative applications of digital intelligence in mechanical testing, including data-driven extrapolation methods for optimizing sensor placement and test planning, intelligent analysis and interpretation of large-scale datasets, and digitally assisted wiring. Furthermore, intelligent monitoring and anomaly localization based on voiceprint imaging, along with multi-source data fusion-based sensing and measurement technologies, are employed to achieve wideband, full-field, and high-precision dynamic response measurements. By combining simulations with sparse measurement points, data gaps and blind zones can be effectively compensated. Finally, recommendations are proposed to promote the digital-intelligent transformation of mechanical environmental testing in China, with the aim of accelerating the overall intelligent upgrading of spacecraft environmental engineering.