In order to solve the problem in bridge management of real-time security monitoring and expected safety prediction based on the realization of TMS320C6748 laser spot center positioning, a bridge deflection monitoring and prediction system based on Android is designed. The monitoring system adopts a modular design idea and consists of a Socket server module, a Web server module, and an Android module. Combined with the real-time bridge deflection data received from the Socket server module, the database connection and operation are established, and the information environment combined with the mobile terminal and the Web server is used to realize the function of bridge information annotation, search, and deflection information display based on Baidu map API. The prediction system predicts the short-term bridge state changes by comparing and analyzing the comprehensive scoring method and the optimized Markov chain. After many times of simulation test of the simulated bridge, the prediction result of the algorithm is consistent with the actual situation, and the running time of the whole software is controlled in 4 to 6 seconds, realizing the requirement of real-time performance. The results show that the system has strong accuracy, real-time, and practicability, which provides a convenient and accurate way for the bridge managers to supervise the bridge and timely formulate the bridge concrete maintenance plan.