For realizing the intelligent and rapid identification of the parameters of temperature control of mass concrete during the construction, and improving the feedback and prediction accuracy of the model of intelligent temperature control system, a set of intelligent algorithms are developed to identify and transform the original data of various temperature control parameters collected based on the internet of things technology. As for key parameters for the concrete temperature control during the construction period, such as the concrete placement temperature, the start time, the maximum temperature, the temperature difference between the interior and exterior concrete, the start and end time of water cooling and the surface insulation, the judgment logic of the corresponding recognition task is given and the corresponding program is written combined with engineering experience. Then according to the data of several practical projects, the method and codes are validated, and the accuracy is analyzed. Results show that the proposed algorithms have a good performance for the identification, and can be used for practical projects, so as to benefit the automation, intelligentization, rapidity and accuracy of the collection of temperature control parameters.