Considering the actual demand for multi-information and multi-signal acquisition for CNC machine tool working process spindle systems， a multi-source heterogeneous information acquisition test platform comprising multi-type sensors was designed and developed. The platform consists of a hot state characteristic information acquisition system and dynamic information acquisition system for machine tools. The hot state characteristic information acquisition system monitors the displacement and temperature data of each point of the CNC machine tool while the dynamic information acquisition system monitors the vibration， stress， and strain at each point of the machine tool. Based on the simulation analysis of the spindle system， the test platform was first constructed in this study， and subsequently， multi-source heterogeneous information acquisition tests at speeds of 2000， 3000， and 4000 r/min were conducted. The relative error between the test and simulation results was within 10%. Simultaneously， the collected data were preprocessed and fused to model the thermal error of the multi-source information. The root mean square error of the thermal deformation after thermal equilibrium was less than 0.9 μm at the corresponding rotational speed and the determination coefficient was above 0.9. This indicated that the multi-source heterogeneous information acquisition test platform built possessed better accuracy at multi-rotational speeds. The experimental platform and data acquisition fusion method described in this study provide an important technical means and theoretical basis for the thermal error compensation and thermal design of machine tools.