Abstract:To solve the problems in the existing evaluation system, i.e., low evaluation accuracy, long time consumption, and poor stability, a seismic disaster casualty assessment system based on mobile communication big data is proposed and designed. The overall system architecture is first given; then, combined with the mobile communication big data, hardware modules, including systems for seismic damage data acquisition, data transmission, population injury assessment, and data statistical analysis, are designed. Finally, the acquisition and data statistics of the population casualties of earthquake disasters are completed. The first positioning data are compared with the seismic data after the correction of the epicenter intensity and local population density coefficient. If the positioning data remain unchanged, the casualty can be regarded as injured or trapped, or even dead. According to the key-value pattern, the second positioning data are arranged in a table to store and analyze the big data. Using the principle of linear regression, the earthquake casualty assessment model is constructed, and the earthquake disaster population casualty assessment system is designed. The experimental results show that the system evaluation result is accurate, and the fitting degree with the actual evaluation results is high, indicating that the system has a certain feasibility.