This paper established a processing and storage model of a bridge health monitoring system based on data stream sliding window by using the data stream and the sliding window technical. It studied the bridge health monitoring of data processing based on data flow. Bridge health monitoring is a real-time monitoring for the bridge structure and the structural state of the intelligence assessment. It plays an active role for ensuring the sage operation of the bridge, detecting the diseases of the bridge and extending the life of the bridge. The data stream and sliding window technical take real-time processing to data which collected by the sensors, and set the threshold based on the data stream to save on the abnormal data, then according to the abnormal data determine whether alarm. This model greatly reduces the difficulty of data processing, while improving data processing efficiency.