Earthen site is an important part of our cultural heritage, so monitoring and protecting its living condition is vital. Like other country, in china many sites also face collapse even destruction danger. In this paper, we present a novel framework and a site survival model to monitor Danfeng Gate of Daming Palace, analyze the data collected by wireless sensor networks (WSNs) for early warning. In order to forecast the health trend, we also adopt the Neural networks and Bayesian model processing internal and external environment data to predict the health status.