The power matching accuracy of twin-shaft forced mixers directly affects equipment energy consumption, service life, and mixing quality. This product establishes a refined power matching model that integrates multiple variables, including material rheological parameters, blade dynamics, and transmission efficiency, to accurately calculate operating torque curves. Validated by actual measured data, the model achieves motor selection errors within ±5%, avoiding issues such as oversized motor capacity or overload operation. The accompanying selection database covers mainstream motor brands both domestically and internationally, supporting customized operating condition simulations and energy consumption predictions. This solution has been successfully applied to multiple large-scale mixing station projects, achieving an average reduction of installed power by 15% and an energy saving rate of 12%, providing reliable technical support for the efficient and energy-saving design of mixers.