Abstract: Hazard-affect buildings in different regions of China have various features. After many times of post-earthquake reconstruction, hazard-affect buildings in southwestern China, together with their vulnerabilities, have a diversification tendency, which results in unworkable of convolutional common-used data standard in southwestern China. Additionally, traditional manually-form-entry method is a quite time-consuming and labor-intensive way for data collection, let alone the impossible guarantee of data accuracy, consistency, and timeliness, which finally leads to a serious effect on earthquake damage prediction and post-disaster response. Based on the urban planning data and the intelligent mobile terminal technology, this paper builds an integrated system of data collection and dynamic updating. First, the system optimizes the items and process of data collection, so that it can adapt to the situation of counties in southwest region and achieve the standard data collection and real-time entering. The system also combines and leverages urban planning data and is able to dynamic updating urban planning data with the help of collected hazard-affect buildings data. Second, the intelligent cross-checking module ensures the accuracy and effectiveness of data. The application demonstration in Danling county shows that the system significantly improves the accuracy, consistency and update speed of the data, which greatly reduces the workload of the staff. The system lays a solid foundation for disaster acquisition and evaluation. Moreover, it effectively improves the capabilities of disaster prevention and emergency rescue for many counties in southwestern China.