Abstract: To control the temperature of concrete dam blocks, we have developed a daily synthetic model for evaluation and prediction of concrete temperature conditions of arch dams. Based on the field monitoring data of typical concrete blocks, this model adopts a statistical sub-model for multiple regression analysis together with a combined index formula and a comprehensive exponential formula. It uses a small probability method to estimate the indexes of over-temperature control for a certain concrete age, i.e. allowable temperature and allowable temperature change rate, and determines over-temperature control nodes based on comparison with the temperature monitoring data. To meet the technical requirements by concrete dam construction, it applies a fuzzy matter-element theory in calculating feedback from the over-temperature nodes and evaluating indexes of construction schedule and temperature conditions and a genetic algorithm to optimize data consistency of index weights. Application to a practical project shows that the daily evaluation and prediction model can help in-site optimization and adjustment of concrete temperature control measures and has a good flexibility and convenience.