近年尾矿库溃坝造成的安全事故频发,尾矿库作为一种高势能人造泥石流危险源,对其进行安全预警监测是必不可少的。本文提出一种基于长短期记忆算法-毕肖普(long short term memory-Bishop,LSTMBishop)反馈耦合机制的尾矿库安全预警系统,...近年尾矿库溃坝造成的安全事故频发,尾矿库作为一种高势能人造泥石流危险源,对其进行安全预警监测是必不可少的。本文提出一种基于长短期记忆算法-毕肖普(long short term memory-Bishop,LSTMBishop)反馈耦合机制的尾矿库安全预警系统,实时监测尾矿库各参数指标并及时预警。该系统基于卡尔曼滤波(Kalman filter)算法对各个监测传感器传输的数据进行处理,使用基线解算方法对北斗定位终端传输的坐标进行时空基准统一,最后通过LSTM-Bishop反馈耦合模型对最小安全系数做出预测,根据动态预警阈值做出风险决策。模型使用反馈耦合机制,通过在LSTM网络中加入毕肖普物理约束,使LSTM网络的预测误差显著降低,对最小安全系数的预测准确度达到90%以上。系统使用物联网、云计算等多种先进技术,实现了对尾矿库的实时监测预警,对预防安全事故的发生起到了积极作用。展开更多
Single-cell biomechanics and electrophysiology measuring tools have transformed biological research over the last few decades,which enabling a comprehensive and nuanced understanding of cellular behavior and function....Single-cell biomechanics and electrophysiology measuring tools have transformed biological research over the last few decades,which enabling a comprehensive and nuanced understanding of cellular behavior and function.Despite their high-quality information content,these single-cell measuring techniques suffer from laborious manual processing by highly skilled workers and extremely low throughput(tens of cells per day).Recently,numerous researchers have automated the measurement of cell mechanical and electrical signals through robotic localization and control processes.While these efforts have demonstrated promising progress,critical challenges persist,including human dependency,learning complexity,in-situ measurement,and multidimensional signal acquisition.To identify key limitations and highlight emerging opportunities for innovation,in this review,we comprehensively summarize the key steps of robotic technologies in single-cell biomechanics and electrophysiology.We also discussed the prospects and challenges of robotics and automation in biological research.By bridging gaps between engineering,biology,and data science,this work aims to stimulate interdisciplinary research and accelerate the translation of robotic single-cell technologies into practical applications in the life sciences and medical fields.展开更多
文摘近年尾矿库溃坝造成的安全事故频发,尾矿库作为一种高势能人造泥石流危险源,对其进行安全预警监测是必不可少的。本文提出一种基于长短期记忆算法-毕肖普(long short term memory-Bishop,LSTMBishop)反馈耦合机制的尾矿库安全预警系统,实时监测尾矿库各参数指标并及时预警。该系统基于卡尔曼滤波(Kalman filter)算法对各个监测传感器传输的数据进行处理,使用基线解算方法对北斗定位终端传输的坐标进行时空基准统一,最后通过LSTM-Bishop反馈耦合模型对最小安全系数做出预测,根据动态预警阈值做出风险决策。模型使用反馈耦合机制,通过在LSTM网络中加入毕肖普物理约束,使LSTM网络的预测误差显著降低,对最小安全系数的预测准确度达到90%以上。系统使用物联网、云计算等多种先进技术,实现了对尾矿库的实时监测预警,对预防安全事故的发生起到了积极作用。
基金the National Natural Science Foundation of China[62525301,62127811,62433019]the New Cornerstone Science Foundation through the XPLORER PRIZEthe financial support by the China Postdoctoral Science Foundation[GZB20240797].
文摘Single-cell biomechanics and electrophysiology measuring tools have transformed biological research over the last few decades,which enabling a comprehensive and nuanced understanding of cellular behavior and function.Despite their high-quality information content,these single-cell measuring techniques suffer from laborious manual processing by highly skilled workers and extremely low throughput(tens of cells per day).Recently,numerous researchers have automated the measurement of cell mechanical and electrical signals through robotic localization and control processes.While these efforts have demonstrated promising progress,critical challenges persist,including human dependency,learning complexity,in-situ measurement,and multidimensional signal acquisition.To identify key limitations and highlight emerging opportunities for innovation,in this review,we comprehensively summarize the key steps of robotic technologies in single-cell biomechanics and electrophysiology.We also discussed the prospects and challenges of robotics and automation in biological research.By bridging gaps between engineering,biology,and data science,this work aims to stimulate interdisciplinary research and accelerate the translation of robotic single-cell technologies into practical applications in the life sciences and medical fields.
