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Ultra-precision Measurement is very strict with vibration in the environment; most of measuring equipments are installed isolation device. In order to evaluate the vibration isolation performance of air-spring isolation platform installed on the roundness instrument in the key laboratory of one university, the vibration measurement is designed by using piezoelectric acceleration sensor. According to the actual measurement situation, the signal processing algorithms are designed. The collected acceleration signal is taken pretreatment, integral operation and frequency spectrum analysis to eliminate trend item and interference noise, restore the actual vibration condition and get the vibration displacement curve and the natural frequency of the vibration isolation system accurately. The results show that the indicators of the air-spring isolation platform meet the requirements of vibration isolation. The designed signal optimization algorithms have guiding significance to the acceleration signal processing in the vibration measurement, and also can be used as a reference of signal processing in the fault detection.