大体积混凝土BIM智能温控系统的研究与应用

发布时间：2018-05-22 07:51

本文选题：BIM技术 + 大体积混凝土　；参考：《土木建筑与环境工程》2016年04期

【摘要】：传统大体积混凝土通水冷却施工多采用人工监控温度,存在数据采集处理不及时、监测数据准确性差、温度控制效率低等问题,针对这些问题,开发一种BIM智能温控系统。具体方法为:选择Revit、Navisworks等BIM软件进行二次开发;利用控制计算机、温度数据采集设备、自控阀门循环水泵、无线网络通讯及桥接设备、工业集成软件服务器及客户机等搭建温度测控系统;建立温度预警机制并搭载人工智能控制算法,通过无线传输接收测温元件传递的数据,系统自动判别温度异常情况并控制冷却水管阀门的开关;在BIM实体模型中标记实际测温点的相对应位置,使系统以三维形式同步直观反映相应测温点位置混凝土温度曲线变化,并提供预警功能。系统在寸滩长江大桥中进行了测试,结果表明,系统采集数据准确灵敏且预警及时,温度采集的精确度和效率均得到提高,温度控制较为理想。
[Abstract]:The traditional mass concrete water cooling construction uses manual monitoring temperature, there are some problems, such as data collection and processing is not timely, monitoring data accuracy is poor, temperature control efficiency is low, and so on. In view of these problems, an intelligent temperature control system of BIM is developed. The specific methods are as follows: selecting BIM software such as Revitator Navisworks for secondary development, using control computer, temperature data acquisition equipment, automatic control valve circulating pump, wireless network communication and bridging equipment, Industrial integrated software server and client set up temperature measurement and control system, set up temperature warning mechanism and carry artificial intelligence control algorithm, through wireless transmission to receive the data transmitted by temperature measuring elements, The system automatically discriminates the temperature anomaly and controls the switch of the cooling water pipe valve, marks the corresponding position of the actual temperature measuring point in the BIM solid model, and makes the system reflect the concrete temperature curve change of the corresponding temperature measuring point position synchronously and intuitively in three dimensional form. And provide early warning function. The system is tested in the Putan Yangtze River Bridge. The results show that the system is accurate, sensitive and timely, the accuracy and efficiency of temperature collection are improved, and the temperature control is more ideal.
【作者单位】：中铁十二局集团建筑安装工程有限公司;辽宁工业大学土木工程学院;重庆筑智建建筑科技有限公司;重庆大学土木工程学院;
【基金】：重庆建设科技计划(2015-2-3)~~
【分类号】：TU755;TU17

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