In view of the cumbersome and often untimely process of manual collection and observation of frozen soil data parameters,and the damage caused to dams by frost heaving of frozen soil,a remote monitoring and an early w...In view of the cumbersome and often untimely process of manual collection and observation of frozen soil data parameters,and the damage caused to dams by frost heaving of frozen soil,a remote monitoring and an early warning model for frozen soil in dam areas was presented.The Pt100 temperature sensors and JM seam gauges were used as measurement tools in the system.The sensor layout was designed,based on the actual situation in the monitoring area.A 4G network was used for wireless transmission to monitor frozen soil data in real time.BP neural network was used to predict the parameters of frozen soil.After analysis,four factors including the average temperature of frozen soil,the type of frozen soil,the artificial upper limit of frozen soil and the building construction time were selected to establish an early warning model using fuzzy reasoning.The experimental results showed that the early warning model could reflect the influence on dam buildings of frost heaving and sinking of frozen soil,and provided technical support for predicting the hazard level.展开更多
为解决新型电力系统中极端气象灾害对变压器有载分接开关(on load tap changer,OLTC)破坏严重、易造成故障的问题,提出一种基于模糊C均值聚类(fuzzy c-means,FCM)-云模型-长短期记忆网络(long short term memory network,LSTM)的有载分...为解决新型电力系统中极端气象灾害对变压器有载分接开关(on load tap changer,OLTC)破坏严重、易造成故障的问题,提出一种基于模糊C均值聚类(fuzzy c-means,FCM)-云模型-长短期记忆网络(long short term memory network,LSTM)的有载分接开关气象灾害易损性评估预警方法。该方法首先基于变压器气象监测数据,建立致灾因子评估体系;根据FCM聚类算法,将传统云模型的阈值划分进行改进,得到客观云模型,将主客观云模型与其进行结合构建组合云模型。基于自然灾害理论,考虑地理孕灾环境、设备本身的抗灾能力、灾害风险累积程度以及面对灾害的风险综合处理能力等因素,对待评估灾害指标进行动态修正,将修正后的指标计算在组合云模型的隶属度中,从而得到OLTC各灾害易损性等级。最后,应用LSTM神经网络提取各致灾因子与各灾害易损性之间的关联规则,并进行气象灾害预警,形成最佳应对策略。算例结果表明:该文提出的OLTC气象灾害易损性评估预警方法准确率较高,达到了防灾减灾的效果。展开更多
连续刚构拱组合铁路桥是一种具有复杂结构形式和施工工序繁多的桥梁类型。为实现对该类型桥梁施工过程的全面监控和管理,以目前在建最大跨径无砟轨道高墩大跨连续刚构拱组合体系桥为背景,阐述BIM技术在该领域取得的研究成果,通过BIM技...连续刚构拱组合铁路桥是一种具有复杂结构形式和施工工序繁多的桥梁类型。为实现对该类型桥梁施工过程的全面监控和管理,以目前在建最大跨径无砟轨道高墩大跨连续刚构拱组合体系桥为背景,阐述BIM技术在该领域取得的研究成果,通过BIM技术对连续刚构拱组合梁桥进行参数化建模、施工动态模拟,以Visual Studio 2022作为开发平台开发了线形与应力监控系统,系统包含数据管理、测点设计、接口设计、模型应用等四大功能模块,对施工监控数据进行有效管理。研究结果表明:采用基于BIM数据驱动的参数化建模技术,提高了建模效率和准确性。桥梁线形数据的可视化表达简化了监控数据与设计值的对比工作,可视化模拟施工工况和动态预警提示功能为桥梁线形的发展规律分析提供参考。实现了监测数据与桥梁BIM模型的关联,方便数据存储和查找,同时可以直观地比较实测值与理论值的误差是否超限,简化了监测数据统计和对比工作。该软件系统为铁路桥梁工程的设计、施工和监测提供有力支持。展开更多
基金Supported by the Application Technology Research and Development Plan Project of Heilongjiang Province(GY2014ZB0011)the 13th Five-year National Key R&D Program(2016YFD0300610)
文摘In view of the cumbersome and often untimely process of manual collection and observation of frozen soil data parameters,and the damage caused to dams by frost heaving of frozen soil,a remote monitoring and an early warning model for frozen soil in dam areas was presented.The Pt100 temperature sensors and JM seam gauges were used as measurement tools in the system.The sensor layout was designed,based on the actual situation in the monitoring area.A 4G network was used for wireless transmission to monitor frozen soil data in real time.BP neural network was used to predict the parameters of frozen soil.After analysis,four factors including the average temperature of frozen soil,the type of frozen soil,the artificial upper limit of frozen soil and the building construction time were selected to establish an early warning model using fuzzy reasoning.The experimental results showed that the early warning model could reflect the influence on dam buildings of frost heaving and sinking of frozen soil,and provided technical support for predicting the hazard level.
文摘为解决新型电力系统中极端气象灾害对变压器有载分接开关(on load tap changer,OLTC)破坏严重、易造成故障的问题,提出一种基于模糊C均值聚类(fuzzy c-means,FCM)-云模型-长短期记忆网络(long short term memory network,LSTM)的有载分接开关气象灾害易损性评估预警方法。该方法首先基于变压器气象监测数据,建立致灾因子评估体系;根据FCM聚类算法,将传统云模型的阈值划分进行改进,得到客观云模型,将主客观云模型与其进行结合构建组合云模型。基于自然灾害理论,考虑地理孕灾环境、设备本身的抗灾能力、灾害风险累积程度以及面对灾害的风险综合处理能力等因素,对待评估灾害指标进行动态修正,将修正后的指标计算在组合云模型的隶属度中,从而得到OLTC各灾害易损性等级。最后,应用LSTM神经网络提取各致灾因子与各灾害易损性之间的关联规则,并进行气象灾害预警,形成最佳应对策略。算例结果表明:该文提出的OLTC气象灾害易损性评估预警方法准确率较高,达到了防灾减灾的效果。
文摘连续刚构拱组合铁路桥是一种具有复杂结构形式和施工工序繁多的桥梁类型。为实现对该类型桥梁施工过程的全面监控和管理,以目前在建最大跨径无砟轨道高墩大跨连续刚构拱组合体系桥为背景,阐述BIM技术在该领域取得的研究成果,通过BIM技术对连续刚构拱组合梁桥进行参数化建模、施工动态模拟,以Visual Studio 2022作为开发平台开发了线形与应力监控系统,系统包含数据管理、测点设计、接口设计、模型应用等四大功能模块,对施工监控数据进行有效管理。研究结果表明:采用基于BIM数据驱动的参数化建模技术,提高了建模效率和准确性。桥梁线形数据的可视化表达简化了监控数据与设计值的对比工作,可视化模拟施工工况和动态预警提示功能为桥梁线形的发展规律分析提供参考。实现了监测数据与桥梁BIM模型的关联,方便数据存储和查找,同时可以直观地比较实测值与理论值的误差是否超限,简化了监测数据统计和对比工作。该软件系统为铁路桥梁工程的设计、施工和监测提供有力支持。
基金国家自然科学基金项目"基于混合智能计算的B2B复杂合同谈判模型研究"(项目编号:71540019)黑龙江省自然科学基金项目"B to B电子商务中多属性依赖谈判模型研究"(项目编号:G2015003)+1 种基金黑龙江科技大学研究生创新科研项目"移动社交网络舆情预警机制研究"(项目编号:YJSCX2016-011HKD)黑龙江省哲学社会科学研究规划项目"绿色经济视角下新型城镇化模式设计"(项目编号:14B064)
