泵闸混凝土施工期智能温控关键信息识别

为实现施工期大体积混凝土温控要素的智能快速识别，提高智能温控系统的反馈及预测模型精度，提出了一套智能算法对物联网技术采集到的各类温控要素原始测值进行识别及转化。针对浇筑温度、浇筑时间、最高温度、内外温差、冷却通水起止时间与表面保温覆盖等施工期关键温控参数，结合工程经验分别给出相应识别任务的判定逻辑并编写对应程序，然后应用多个实际工程数据进行验证，并分析各识别功能的准确率。验证结果表明，本文算法识别效果良好，能够实现温控要素采集的自动化、智能化、快速化、精准化，具有较强的工程实用价值。

Identification of key parameters of intelligent temperature control of pump and sluice concrete during the construction period

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.